In [2]:
import plotly.offline as pyo
from plotly.graph_objs import *
import chart_studio.plotly as py

import pandas as pd
from pandas import DataFrame
In [3]:
pyo.offline.init_notebook_mode()
In [4]:
emissions = pd.read_csv(r"../Data/TotalCo2EmissionsByCountry.csv", index_col=0)
emissions.head()
Out[4]:
Year Afghanistan | AFG Albania | ALB Algeria | DZA American Samoa | ASM Andorra | AND Angola | AGO Antigua and Barbuda | ATG Arab World | ARB Argentina | ARG ... Uzbekistan | UZB Vanuatu | VUT Venezuela, RB | VEN Vietnam | VNM Virgin Islands (U.S.) | VIR West Bank and Gaza | PSE World | WLD Yemen, Rep. | YEM Zambia | ZMB Zimbabwe | ZWE
0 1960 414.371 2024.184 6160.560 NaN NaN 550.050 36.670 59563.98922 48815.104 ... NaN NaN 57069.521 7491.681 NaN NaN 9.396706e+06 3633.997 NaN NaN
1 1961 491.378 2280.874 6065.218 NaN NaN 454.708 47.671 65151.09581 51180.319 ... NaN NaN 51928.387 7986.726 NaN NaN 9.434403e+06 2665.909 NaN NaN
2 1962 689.396 2464.224 5669.182 NaN NaN 1180.774 102.676 74357.70773 53695.881 ... NaN 40.337 54106.585 9347.183 NaN NaN 9.818840e+06 3887.020 NaN NaN
3 1963 707.731 2082.856 5427.160 NaN NaN 1151.438 84.341 87895.97916 50083.886 ... NaN 33.003 56204.109 9119.829 NaN NaN 1.035575e+07 2918.932 NaN NaN
4 1964 839.743 2016.850 5650.847 NaN NaN 1224.778 91.675 103196.28160 55727.399 ... NaN 62.339 56603.812 11800.406 NaN NaN 1.094701e+07 3633.997 3278.298 4473.74

5 rows × 249 columns

In [7]:
UKEmissions = {'type' : 'scatter',
              'x' : emissions['Year'],
              'y' : emissions['United Kingdom | GBR'],
              'mode' : 'lines',
              'name' : 'UK Co2 Emissions'}

layout = {'title' : "Co2 Emissions in Kilotons for UK, 1960-2015",
         'xaxis' : {'title' : 'Year'},
         'yaxis' : {'title' : 'Co2 Emissions (kt)'}}

data = Data([UKEmissions])

fig = Figure(data=data, layout=layout)

pyo.iplot(fig)
In [8]:
UKEmissions.update({'fill' : 'tozeroy'})
data = Data([UKEmissions])

fig = Figure(data=data, layout=layout)

pyo.iplot(fig)
In [9]:
UKEmissions.update({'fillcolor' : 'rgba(89, 100, 212, 0.46)'})
data = Data([UKEmissions])

fig = Figure(data=data, layout=layout)

pyo.iplot(fig)
In [10]:
UKEmissions.update({'fill' : 'tozerox'})
data = Data([UKEmissions])

fig = Figure(data=data, layout=layout)

pyo.iplot(fig)
In [11]:
UKEmissions.update({'x' : emissions['United Kingdom | GBR'],
                   'y' : emissions['Year']})
data = Data([UKEmissions])

layout = {'title' : "Co2 emissions in kilotons for the UK, 1960-2015",
         'xaxis' : {'title' : 'Co2 Emissions (kt)'},
         'yaxis' : {'title' : 'Year'}}

fig = Figure(data=data, layout=layout)

pyo.iplot(fig)
In [ ]: